Learn DBT from Scratch

Why take this course?
🎉 Course Headline:
🎓 Complete Guide to Learning DBT from Scratch 🚀
Learn how to harness the power of Data Build Tool (DBT) to transform your data processes with confidence. Connect DBT to a Data Warehouse like Snowflake, create, test, and deploy SQL transformations efficiently, and ensure robust data management practices. This is your step-by-step guide to becoming proficient in DBT and enhancing your data analytics capabilities!
What you'll learn 📚
Welcome to Learn DBT from Scratch, the comprehensive course designed to take you from a DBT newbie to a seasoned pro. By the end of this course, you will have mastered the following skills:
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✅ Set Up DBT Locally and on the Cloud: Gain the knowledge to install and configure DBT in various environments.
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🌐 Connect DBT to Snowflake (or your Data Warehouse): Learn how to integrate DBT with your chosen data warehouse, enabling seamless data transformations.
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⚗️ Create Your Own SQL Transformations on Data: Understand how to write and execute your own custom SQL transformations that can be reused and version controlled.
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🔍 Test Your Transformations: Master the DBT testing suite to ensure your data transformations are working correctly and consistently.
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📑 Snapshot Your Data: Utilize snapshot tests to track changes in your data over time, providing a reliable historical record of your database schema and table contents.
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🏆 Learn DBT Best Practices: Absorb industry-standard best practices that will allow you to deploy DBT efficiently and maintain high-quality analytics code.
Why you should learn DBT 🤔
DBT is an indispensable tool for any Data Scientist or Analyst, offering a suite of capabilities that are essential for effective data management and analysis. Unlike trendy but less impactful skills, DBT provides tangible benefits that will enhance your workflow and deliver high-quality analytics. Here's why you should consider learning DBT:
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🧠 Consistency in Analytics: Create consistent aggregations for your analysis, ensuring reliability and accuracy in your results.
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✅ Testing and Quality Assurance: Consistently test your transformations and underlying data to minimize the risk of errors and improve confidence in your outputs.
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⏱️ Automation: Run your data transformations on a schedule, automating repetitive tasks and freeing up time for more complex analyses.
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🔄 Safe Development Environment: Test your code in a DEV environment before it goes live, ensuring that deployments are as smooth as possible.
About DBT 🔍
DBT, or Data Build Tool, is at the forefront of Analytics Engineering, applying software engineering principles to analytics workflows. DBT is designed to empower data analysts by providing them with tools that streamline the entire process of writing, testing, and deploying analytics code. By focusing on the value data analysts bring to organizations, DBT enables a more efficient and effective approach to managing and analyzing data. With DBT, you'll be equipped to handle complex data tasks with ease and precision, ensuring that your data storytelling is backed by robust engineering practices.
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Comidoc Review
Our Verdict
A comprehensive introduction to DBT with actionable insights. Despite slightly outdated content and minor issues in setup guidance on Windows, it provides a solid foundation for understanding dbt principles, integrating GitHub, and exploring its potential value in data engineering workflows.
What We Liked
- Covers most DBT features in an organized and methodical way, easing learners into the subject
- Excellent for Oracle developers transitioning to Data Engineering and needing to learn Snowflake & DBT
- Detailed overview of DBT functionalities; helpful for those starting from scratch
- Instructor provides a clear explanation of all course contents, making it easy to understand
- Practical walkthrough setting up DBT Cloud and integrating with GitHub
Potential Drawbacks
- Videos are outdated and do not reflect the current version of DBT or Snowflake UI
- Instructor's pace can be too fast, leaving learners struggling to follow along
- Lacks clear instructions for installing and setting up DBT on Windows
- Needs improvement in displaying various DBT use cases with different databases such as BigQuery, Postgres etc.
- Could benefit from more focus on debugging errors and providing detailed explanations
- Some lessons lack necessary detail, leaving learners unclear about the rationale behind certain code snippets